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Databricks Databricks-Certified-Data-Engineer-Associate Exam Syllabus Topics:

Section	Weight	Objectives
Databricks Intelligence Platform	10%	- Platform architecture and core concepts 1. Workspace navigation and management 2. Data layout and optimization: partitioning, file sizing, caching 3. Compute options: clusters, SQL warehouses, serverless
Data Processing & Transformations	31%	- Data transformation techniques 1. Complex data processing logic 2. DataFrame operations and transformations 3. Aggregations, joins, and window functions - Query optimization and performance 1. Optimization strategies 2. Understanding query plans
Data Governance & Quality	11%	- Unity Catalog implementation 1. Data governance model 2. Permissions and access control - Data quality and reliability 1. Data validation and quality checks 2. Schema enforcement and evolution
Productionizing Data Pipelines	18%	- Deployment and CI/CD 1. Version control integration 2. Databricks Asset Bundles - Monitoring and troubleshooting 1. Logging and error handling 2. Pipeline reliability and recovery - Workflow orchestration 1. Scheduling, triggers, and dependencies 2. Lakeflow Jobs creation and management
Development and Ingestion	30%	- Notebook development fundamentals 1. Using PySpark and Spark SQL 2. Data exploration and validation - Data ingestion patterns and methods 1. Connecting to external data sources 2. Delta Lake basics and usage 3. Batch and streaming ingestion

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Databricks Certified Data Engineer Associate Exam Sample Questions (Q234-Q239):

NEW QUESTION # 234
A data engineer is preparing a Declarative Automation Bundle (formerly Databricks Asset Bundle) to deploy a Lakeflow pipeline. To ensure the pipeline is deployed to the correct environment, where should the workspace-specific configurations, such as the host URL and root storage path, be defined within the bundle project?

A. In the targets section of the databricks.yml file
B. In a global environment variable on the local development machine
C. Inside the README.md file of the bundle root directory
D. Within the Python source code of the Lakeflow pipeline

Answer: A

Explanation:
Environment-specific workspace settings, including the workspace host and deployment root_path, should be defined or overridden under each environment in the targets section of databricks.yml.

NEW QUESTION # 235
A data engineer needs to append new records to an existing Delta table while preserving existing data. The ingestion pipeline runs every hour and adds incremental data without replacing previous records. Which write mode should be used?

A. overwrite
B. errorIfExists
C. ignore
D. append

Answer: D

NEW QUESTION # 236
A data engineer has configured a Structured Streaming job to read from a table, manipulate the data, and then perform a streaming write into a new table.
The code block used by the data engineer is below:

If the data engineer only wants the query to process all of the available data in as many batches as required, which of the following lines of code should the data engineer use to fill in the blank?

A. trigger(availableNow=True)
B. trigger(parallelBatch=True)
C. processingTime(1)
D. trigger(processingTime="once")
E. trigger(continuous="once")

Answer: A

Explanation:
https://spark.apache.org/docs/latest/api/python/reference/pyspark.ss/api/pyspark.sql.streaming.
DataStreamWriter.trigger.html

NEW QUESTION # 237
A data engineer uses the Databricks workspace UI with Unity Catalog enabled. In Data Explorer, they select catalog corp_marketing, then schema campaigns, and see table email_stats. The engineer must let the growth-analysts group read email_stats from their SQL warehouses, but not create, alter, or delete any objects in corp_marketing or campaigns. Which action sequence meets the requirement?

A. 1. On schema campaigns, open Permissions and grant USE SCHEMA and SELECT to growth- analysts
2. On the table email_stats, open Permissions and grant SELECT to growth-analysts
B. 1. On catalog corp_marketing, open Permissions and grant USE CATALOG to growth-analysts
2. On schema campaigns, open Permissions and grant USE SCHEMA to growth-analysts
3. On the table email_stats, open Permissions and grant SELECT to growth-analysts
C. 1. On schema campaigns, open Permissions and grant USE SCHEMA to growth-analysts
2. On the table email_stats, open Permissions and grant SELECT and MODIFY to growth- analysts
D. 1. On catalog corp_marketing, open Permissions and grant USE CATALOG and CREATE SCHEMA to growth-analysts
2. On schema campaigns, open Permissions and grant USE SCHEMA to growth-analysts
3. On the table email_stats, open Permissions and grant SELECT to growth-analysts

Answer: B

Explanation:
Reading a Unity Catalog table requires USE CATALOG on its catalog, USE SCHEMA on its schema, and SELECT on the table. These privileges allow read access without granting object creation or modification rights.

NEW QUESTION # 238
A departing platform owner currently holds ownership of multiple catalogs and controls storage credentials and external locations. The data engineer wants to ensure continuity: transfer catalog ownership to the platform team group, delegate ongoing privilege management, and retain the ability to receive and share data via Delta Sharing.
Which role must be in place to perform these actions across the metastore?

A. Account Admin, because account admins can only create metastores but cannot change ownership of catalogs.
B. Workspace Admin, because workspace admins can transfer ownership of any Unity Catalog object.
C. Metastore Admin, because metastore admins can transfer ownership and manage privileges across all metastore objects, including shares and recipients.
D. Catalog Owner, because catalog owners can transfer any object in any catalog in the metastore.

Answer: C

Explanation:
In Unity Catalog, the Metastore Admin role has the highest level of authority within a metastore and is responsible for governing all data assets registered in that metastore. Metastore admins can transfer ownership of catalogs, manage privileges across all securable objects (catalogs, schemas, tables, views), and administer storage credentials, external locations, and Delta Sharing objects such as shares and recipients.
This makes the role essential when a platform owner departs and continuity must be maintained at an organizational level. Workspace admins (option B) manage workspace-level settings but do not automatically have authority over Unity Catalog ownership unless explicitly granted. Catalog owners (option D) are limited to a single catalog and cannot perform actions across the entire metastore. Account admins (option A) operate at the account level and are primarily responsible for creating metastores and assigning admins, not for day-to-day governance within an existing metastore. Databricks documentation clearly defines the Metastore Admin as the role required to centrally manage ownership, privileges, and data sharing across the metastore in Databricks.

NEW QUESTION # 239
......

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